bulk_aggregate_workbooks

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations declare readOnlyHint=true, so the safe-read nature is already known. The description adds the 'comparable' constraint, implying data must have compatible schemas, but it does not disclose aggregation behavior, output format, or how missing data is handled. This adds some value but not rich behavioral context.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence with zero filler. It is efficiently worded, but it is so terse that it omits essential details that could have been included without significant bloat.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

This is a complex tool with 14 parameters, no output schema, and minimal annotations. The description fails to cover critical aspects such as how 'comparable' data is determined, what aggregation metrics are supported, and what the output structure looks like. It is far from complete for this level of complexity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate by explaining parameter meanings. It mentions none of the 14 parameters (e.g., filepaths, metrics, group_by, schema_mode), leaving all parameter semantics entirely to the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool aggregates comparable worksheet or table data across multiple workbooks. The verb 'aggregate' and scope 'across multiple workbooks' clearly distinguish it from single-workbook aggregation (aggregate_table) and from join/union tools (union_tables, cross_workbook_lookup).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives like union_tables or cross_workbook_lookup. There are no exclusions, prerequisites, or context indicating the best scenarios for this tool.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.